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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Sign in to save

Characterising microplastics in shower wastewater with Raman imaging

The Science of The Total Environment 2021 22 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Ravi Naidu Yunlong Luo, Cheng Fang, Yunlong Luo, Christopher T. Gibson, Cheng Fang, Christopher T. Gibson, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Christopher T. Gibson, Christopher T. Gibson, Yunlong Luo, Christopher T. Gibson, Ravi Naidu Ravi Naidu Ravi Naidu Christopher T. Gibson, Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Christopher T. Gibson, Yunlong Luo, Yunlong Luo, Yunlong Luo, Yunlong Luo, Christopher T. Gibson, Christopher T. Gibson, Youhong Tang, Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Christopher T. Gibson, Ravi Naidu Christopher T. Gibson, Christopher T. Gibson, Christopher T. Gibson, Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Christopher T. Gibson, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Yunlong Luo, Yunlong Luo, Youhong Tang, Youhong Tang, Youhong Tang, Youhong Tang, Youhong Tang, Ravi Naidu Ravi Naidu Ravi Naidu Christopher T. Gibson, Youhong Tang, Youhong Tang, Youhong Tang, Cheng Fang, Youhong Tang, Youhong Tang, Cheng Fang, Christopher T. Gibson, Cheng Fang, Ravi Naidu Ravi Naidu Ravi Naidu Cheng Fang, Ravi Naidu Cheng Fang, Cheng Fang, Cheng Fang, Christopher T. Gibson, Christopher T. Gibson, Cheng Fang, Cheng Fang, Youhong Tang, Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Christopher T. Gibson, Youhong Tang, Cheng Fang, Ravi Naidu Ravi Naidu Ravi Naidu Cheng Fang, Cheng Fang, Cheng Fang, Youhong Tang, Cheng Fang, Youhong Tang, Cheng Fang, Cheng Fang, Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu Christopher T. Gibson, Ravi Naidu Ravi Naidu Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Ravi Naidu Yunlong Luo, Yunlong Luo, Ravi Naidu Ravi Naidu Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Cheng Fang, Ravi Naidu Ravi Naidu Ravi Naidu Ravi Naidu

Summary

This study used Raman imaging spectroscopy to detect and identify plastic microfibers in shower wastewater, distinguishing synthetic fibers from cotton and other background materials. The technique offers a sensitive method for characterizing microplastics released during daily hygiene activities, a significant but often overlooked source of microfiber pollution in domestic wastewater.

Study Type Environmental

Microplastics can potentially be released in our daily activities, such as via our showers, as our clothes are made of plastic fibres, and/or cotton fibres. The challenge is how to characterise these microplastics in shower debris. Herewith we employ Raman imaging to directly visualise the microplastics collected from shower wastewater. Raman can map an image from the scanning array that contains a matrix of thousands of spectra, featuring a considerably higher signal-noise ratio than that from a single spectrum. The increased signal-noise ratio reduces the complexity of sample preparation. Consequently, after the shower debris was sampled and washed, Raman imaging allowed us to distinguish the microplastic fibres from the background including cotton fibres and dirt aggregates. Interestingly, by adjusting the laser power intensity, the scanning process enabled simultaneous in-situ bleaching of the colorants formulated in the textile fibres and collection of signals. The disadvantage of Raman imaging such as the short focusing/working distance is also presented and discussed. Overall, the Raman imaging can extract meaningful information from the complex shower debris samples to enable analysis of microplastics.

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